An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis

Obstructive sleep apnea-hypopnea syndrome (OS-AHS) is a common sleep disorder caused by upper airway blockage, leading to oxygen deprivation and disrupted sleep. Traditional diagnosis using polysomnography (PSG) is expensive, time-consuming, and uncomfortable. Existing deep learning methods using fa...

Celý popis

Podrobná bibliografia

Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autori:	Wei, Yingchen, Qiu, Xihe, Tan, Xiaoyu, Huang, Jingjing, Chu, Wei, Xu, Yinghui, Qi, Yuan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 06.04.2025
Predmet:	Accuracy Attention Mesh Clinical BERT Cross Attention Data models Facial features Feature extraction Modality Interaction OSAHS Diagnosis Physiology Semantics Signal processing Sleep apnea Speech processing Visualization
ISSN:	2379-190X
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!